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Rindcalc is an open source python package created to calculateremote-sensing indices and composites.

Project description


A Spectral Index Raster Calculator For Satellite Image Processing

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For more information visit the Rindcalc documentation

Rindcalc is an open source python library built on numpy and gdal aiming to provide seamless and accurate raster index calculations and composites of satellite and aerial imagery.

It currently consists of index calculation, composite and utility functions for Landsat-8 and USDA NAIP imagery, with Sentinel-2 and MODIS satellite functionality in the works


  • Finish Sentinel-2 implementation
  • Rework Landsat, NAIP, and Sentinel to operate in classes
  • Segmentation and zonal statistics

Install with pip


  • GDAL - need to build from .whl file
  • NumPy
pip install rindcalc

Install with conda

conda install -c rindcalc rindcalc 

If rindcalc is not importing after conda install on Windows 10 then rindcalc files need to be moved from Lib/pythonX.X/site-packages/ to Lib/site-packages within the conda env folder.

Project details

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Source Distribution

rindcalc-3.0.0.tar.gz (10.3 kB view hashes)

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Built Distribution

rindcalc-3.0.0-py3-none-any.whl (26.6 kB view hashes)

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